Description

You will build and deploy production-ready Generative AI and Machine Learning solutions to solve business problems.

This role is hybrid.

Responsibilities

• Build and deploy models using LLMs, RAG, Knowledge Graphs, and LLM Grounding workflows.
• Develop production systems ensuring predictive accuracy, efficiency, and regulatory compliance.
• Perform exploratory data analysis on numerical, tabular, and text data to identify patterns and anomalies.
• Interact with clients to define requirements and document data pipelines and model workflows.
• Mentor junior data scientists and ensure data privacy standards.

Required Skills

• 5+ years of experience in software development or data science.
• Expert-level Python programming, including pandas, Regex, and text processing.
• Proficiency with LLMs: OpenAI, Claude, Gemini, Llama, and Mistral.
• Hands-on experience with Agentic AI frameworks: LangGraph, Semantic Kernel, or AutoGen.
• Experience with Cloud AI platforms: Azure OpenAI, AWS Bedrock, or GCP VertexAI.
• Practical knowledge of RAG, Knowledge Graphs, and LLM Grounding.
• Experience with model hosting services such as Ollama or Huggingface transformers.
• Ability to integrate with third-party systems like SharePoint and various databases.

Preferred Skills

• Understanding of Deep Learning and Machine Learning models.
• Certifications such as Azure AI Engineer Associate, AWS Certified AI Practitioner, or GCP ML Engineer.

Key Skills

Education

Any Graduate